Latest pygraphistry has this flow for free and OSS, just `pip install graphistry[umap-learn]` or, for transformers, `pip install graphistry[ai]` :) And per the

Latest pygraphistry has this flow for free and OSS, just `pip install graphistry[umap-learn]` or, for transformers, `pip install graphistry[ai]` :) And per the article, with pluggable sentence transformers -> UMAP automatically as part of the auto-featurization: graphistry.nodes(accounts_df).umap().plot() :) We haven't published tutorials yet, just been using with some fraud/cyber/misinfo/genomics/sales/gov/etc teams (including with RAPIDS gpu accel), so cool to see excitement here already! Till then, it should work out-of-the-box with no parameters, and then all sorts of fun things to tune: https://github.com/graphistry/pygraphistry/blob/21fad42412ccb5d007dfe4085d6616c065610a7c/graphistry/umap_utils.py#L252 https://github.com/graphistry/pygraphistry/blob/21fad42412cc...